Analyzing The Impact Of Distributed Denial Of Service Attacks Using NS2: A Scenario-Based Study

Distributed Denial of Service (DDoS) attacks remain a persistent and formidable threat to modern network infrastructure. These attacks disrupt services, degrade performance, and expose vulnerabilities by overwhelming targets with malicious traffic. This research leverages NS2 (Network Simulator 2) to simulate DDoS attack scenarios and analyze their impact on key network performance metrics, including throughput,packet loss,and latency. The paper introduces a robust three-phase implementation framework—Preattack (Preparation), During Attack (Mitigation), an Postattack (Recovery)—to counteract DDoS threats effectively. It highlights proactive measures such as advanced Intrusion Detection Systems (IDS), dynamic rate limiting, and collaborative ISP partnerships, ensuring network resilience. Experimental results demonstrate significant performance degradation during attacks, followed by recovery through mitigation strategies. This research underscores the importance of a structured, adaptive approach to safeguarding network infrastructure, providing actionable insights for organizations to combat evolving cyber threats.

Authors

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-07-26
DOI
https://doi.org/10.64252/sy6cw056
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Analyzing The Impact Of Distributed Denial Of Service Attacks Using NS2: A Scenario-Based Study

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International Journal of Environmental Sciences
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article

Analyzing The Impact Of Distributed Denial Of Service Attacks Using NS2: A Scenario-Based Study

Kanchan Katake, Kavita S. Kumavat, Trupti Shinde, Aarti Sardhara, Vishakha Salunkhe, Mayuri Satpute
article en

Abstract

Distributed Denial of Service (DDoS) attacks remain a persistent and formidable threat to modern network infrastructure. These attacks disrupt services, degrade performance, and expose vulnerabilities by overwhelming targets with malicious traffic. This research leverages NS2 (Network Simulator 2) to simulate DDoS attack scenarios and analyze their impact on key network performance metrics, including throughput,packet loss,and latency. The paper introduces a robust three-phase implementation framework—Preattack (Preparation), During Attack (Mitigation), an Postattack (Recovery)—to counteract DDoS threats effectively. It highlights proactive measures such as advanced Intrusion Detection Systems (IDS), dynamic rate limiting, and collaborative ISP partnerships, ensuring network resilience. Experimental results demonstrate significant performance degradation during attacks, followed by recovery through mitigation strategies. This research underscores the importance of a structured, adaptive approach to safeguarding network infrastructure, providing actionable insights for organizations to combat evolving cyber threats.

International Journal of Environmental Sciences
Openalex Percentile: Top 79%
Network Security and Intrusion Detection
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